A generic framework to perform comprehensive analysis of tweets

Marie-Noelle Bessagnet (1)

1 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour

Recently, there has been an increased interest in the use of social media data as important traffic information sources and as a data research in the field of Human and Social Sciences. Social media are used, for example, to identify Twitter user communities in the context of altmetrics. In this paper, we highlight the potential use of social media data analysis by non computer science researchers. We present an approach based on a multi-dimensional analysis which combines the thematic, temporal and spatial features of tweets. We detail an experimentation using different tools in order to create the "perfectible" toolbox for researchers in HSS (for example territorial marketing) or for local territory managers. This approach can be applied in the context of altmetrics.

Mots clés: Geographical information; Data analysis; Territorial Policy; Almetric

Domaines: Recherche d'information [cs.IR]

Marie-Noelle Bessagnet. A generic framework to perform comprehensive analysis of tweets. 7th International Workshop on Bibliometric-enhanced Information Retrieval (BIR@ECIR 2018), Mar 2018, Grenoble, France. 2018. ⟨hal-02414037⟩